What are the hardware requirements for HakuChat 0.5B CoT?

HakuChat 0.5B CoT requires approximately 0.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed HakuChat 0.5B CoT and how large is it?

HakuChat 0.5B CoT is developed by KSKOOO, a model with 0.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate HakuChat 0.5B CoT?

HakuChat 0.5B CoT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HakuChat 0.5B CoT by KSKOOO — VRAM 0.3GB, 4K context

Name: HakuChat 0.5B CoT
Author: KSKOOO

HakuChat 0.5B CoT is an open-source language model by KSKOOO. Features: 0.5b LLM, VRAM: 0.3GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.34.

Chain-of-thought Chinese Conversational Endpoints compatible From-scratch Gguf Llama Q4 Quantized Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/KSKOOO/HakuChat-0.5B-CoT

HakuChat 0.5B CoT Parameters and Internals

LLM Name	HakuChat 0.5B CoT
Repository 🤗	https://huggingface.co/KSKOOO/HakuChat-0.5B-CoT
Model Size	0.5b
Required VRAM	0.3 GB
Updated	2026-11-11
Maintainer	KSKOOO
Model Type	llama
Model Files	0.3 GB 0.5 GB 0.9 GB 1.9 GB 0.9 GB
Supported Languages	zh
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	5.14.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	32768
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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